The MATLAB toolbox for MEG, EEG and iEEG analysis
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Updated
Jun 3, 2024 - MATLAB
The MATLAB toolbox for MEG, EEG and iEEG analysis
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Contains tools for EEG standardized preprocessing
Automagic
Automatic Analysis (aa)
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
SPM (Statistical Parametric Mapping) - Development Version
Classification toolbox for ERP and SSVEP based BCI data
Automatic EEG IC classification plugin for EEGLAB
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
A general matlab framework for EEG data classification
Microstate EEGlab toolbox
A matlab suite for Psycho-Physiological Modelling
EYE-EEG toolbox for combining eye-tracking & EEG
NEURAL: a neonatal EEG feature set in Matlab
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